Main
Emma Skarstein
Passionate about science communication, data visualization and transparent research. Solid background in mathematics and statistical research.
Education
M.S. in Mathematical Sciences
Norwegian University of Science and Technology
Trondheim, Norway
2020 - 2018
B.S. in Mathematical Sciences
Norwegian University of Science and Technology
Trondheim, Norway
2018 - 2015
Thesis: The EM algorithm and some applications in population genetics
Research Experience
PhD candidate
Norwegian University of Science and Technology
Trondheim, Norway
current - 2020
Measurement error and missing data in explanatory variables. Bayesian modelling using integrated nested Laplace approximation (INLA).
Research assistant
Aalto University
Helsinki, Finland
2018
Helped develop an algorithm for automated brain stimulation. Acknowledged in Tervo et al. (2020).
Selected Publications and Posters
We show how to handle missing data in INLA by generalizing existing measurement error models.
Award winning poster at 2022 International Society for Bayesian Analysis (ISBA) World Meeting
Montreal, Canada
2022
Skarstein, E., Martino, S., Muff, S.
Other selected work
TidyTuesday Project Data Visualizations
10+ visualizations of data from the TidyTuesday project
N/A
2022 - 2021
power.usage.analysis
R-package for exploring and analyzing power consumption data from Elhub.no.
N/A
2020